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Regression analysis of censored data using pseudoobservations

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  • Erik T. Parner

    (Aarhus University, Denmark)

Abstract

In a series of papers, a method based on pseudovalues has been proposed for direct regression modeling of the survival function, the restricted mean, and the cumulative incidence function in competing risks with right-censored data. Once the pseudovalues have been computed, one can fit the models using standard generalized estimating equation software. In this talk, I will present three Stata procedures to compute these pseudoobservations and give examples of applications. I also present guidelines for the number of variables in the regression analyses and discuss future updates of the procedures.

Suggested Citation

  • Erik T. Parner, 2014. "Regression analysis of censored data using pseudoobservations," German Stata Users' Group Meetings 2014 01, Stata Users Group.
    • Handle: RePEc:boc:dsug14:01
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